Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints

25 February 2021

Maura Pintor

Fabio Roli

Wieland Brendel

Battista Biggio

AAML

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Papers citing "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints"

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Title
Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent Philip Doldo Derek Everett Amol Khanna A. Nguyen Edward Raff AAML 46 0 0 25 Mar 2025
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho Alessandro Torcinovich Victor Jimenez Rodriguez Antonio Emanuele Cinà Carlos Cotrini Lea Schönherr J. M. Buhmann OOD 68 0 0 20 Mar 2025
Task-Agnostic Attacks Against Vision Foundation Models Brian Pulfer Yury Belousov Vitaliy Kinakh Teddy Furon S. Voloshynovskiy AAML 77 0 0 05 Mar 2025
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving Jun Yan Pengyu Wang Danni Wang Weiquan Huang Daniel Watzenig Huilin Yin AAML VLM 28 3 0 19 Aug 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble Fudong Lin Jiadong Lou Xu Yuan Nianfeng Tzeng ViT AAML 36 1 0 22 Jul 2024
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks Raffaele Mura Giuseppe Floris Luca Scionis Giorgio Piras Maura Pintor Ambra Demontis Giorgio Giacinto Battista Biggio Fabio Roli AAML 58 0 0 11 Jul 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Antonio Emanuele Cinà Jérôme Rony Maura Pintor Luca Demetrio Ambra Demontis Battista Biggio Ismail Ben Ayed Fabio Roli ELM AAML SILM 44 8 0 30 Apr 2024
A mean curvature flow arising in adversarial training Leon Bungert Tim Laux Kerrek Stinson AAML 32 3 0 22 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 51 5 0 08 Apr 2024
Minimum Topology Attacks for Graph Neural Networks Mengmei Zhang Tianlin Li Chuan Shi Lingjuan Lyu Tianchi Yang Junping Du AAML 38 7 0 05 Mar 2024
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates Daniele Angioni Luca Demetrio Maura Pintor Luca Oneto Davide Anguita Battista Biggio Fabio Roli AAML 35 2 0 27 Feb 2024
Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization Giuseppe Floris Raffaele Mura Luca Scionis Giorgio Piras Maura Pintor Ambra Demontis Battista Biggio AAML 37 4 0 12 Oct 2023
Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks Giorgio Piras Maura Pintor Ambra Demontis Battista Biggio AAML 28 1 0 12 Oct 2023
A Review of Adversarial Attacks in Computer Vision Yutong Zhang Yao Li Yin Li Zhichang Guo AAML 23 3 0 15 Aug 2023
FLIRT: Feedback Loop In-context Red Teaming Ninareh Mehrabi Palash Goyal Christophe Dupuy Qian Hu Shalini Ghosh R. Zemel Kai-Wei Chang Aram Galstyan Rahul Gupta DiffM 26 55 0 08 Aug 2023
Vulnerability-Aware Instance Reweighting For Adversarial Training Olukorede Fakorede Ashutosh Nirala Modeste Atsague Jin Tian AAML 19 2 0 14 Jul 2023
How to choose your best allies for a transferable attack? Thibault Maho Seyed-Mohsen Moosavi-Dezfooli Teddy Furon AAML 29 1 0 05 Apr 2023
Optimization and Optimizers for Adversarial Robustness Hengyue Liang Buyun Liang Le Peng Ying Cui Tim Mitchell Ju Sun AAML 28 5 0 23 Mar 2023
Decentralized Adversarial Training over Graphs Ying Cao Elsa Rizk Stefan Vlaski Ali H. Sayed AAML 43 1 0 23 Mar 2023
Revisiting DeepFool: generalization and improvement Alireza Abdollahpourrostam Mahed Abroshan Seyed-Mohsen Moosavi-Dezfooli AAML 29 2 0 22 Mar 2023
Robust Evaluation of Diffusion-Based Adversarial Purification M. Lee Dongwoo Kim 34 54 0 16 Mar 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition Luke E. Richards Edward Raff Cynthia Matuszek AAML 16 2 0 17 Feb 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 24 1 0 01 Jan 2023
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks Nikolaos Antoniou Efthymios Georgiou Alexandros Potamianos AAML 29 5 0 15 Dec 2022
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning Buyun Liang Tim Mitchell Ju Sun OOD 18 7 0 03 Oct 2022
$Optimization for Robustness Evaluation beyond $\ell_p$ Metrics$ Optimization for Robustness Evaluation beyond $\ell_p$ Metrics Hengyue Liang Buyun Liang Ying Cui Tim Mitchell Ju Sun AAML 21 3 0 02 Oct 2022
Robust-by-Design Classification via Unitary-Gradient Neural Networks Fabio Brau Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 42 5 0 09 Sep 2022
Proximal Splitting Adversarial Attacks for Semantic Segmentation Jérôme Rony J. Pesquet Ismail Ben Ayed AAML 17 20 0 14 Jun 2022
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification Leo Schwinn Leon Bungert A. Nguyen René Raab Falk Pulsmeyer Doina Precup Björn Eskofier Dario Zanca OOD 56 13 0 19 May 2022
On Trace of PGD-Like Adversarial Attacks Mo Zhou Vishal M. Patel AAML 27 4 0 19 May 2022
Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations Metehan Cekic Can Bakiskan Upamanyu Madhow 9 7 0 26 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min-Bin Lin Xiao Yang Junyi Zhu Shuicheng Yan 30 119 0 21 Feb 2022
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error Fabio Brau Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 24 7 0 04 Jan 2022
Where to Look: A Unified Attention Model for Visual Recognition with Reinforcement Learning Gang Chen 16 3 0 13 Nov 2021
EG-Booster: Explanation-Guided Booster of ML Evasion Attacks Abderrahmen Amich Birhanu Eshete AAML 8 8 0 31 Aug 2021
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples Maura Pintor Luca Demetrio Angelo Sotgiu Ambra Demontis Nicholas Carlini Battista Biggio Fabio Roli AAML 25 28 0 18 Jun 2021
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks Leo Schwinn René Raab A. Nguyen Dario Zanca Bjoern M. Eskofier AAML 14 58 0 21 May 2021
Internal Wasserstein Distance for Adversarial Attack and Defense Jincheng Li Shuhai Zhang Jingyun Liang Jian Chen Mingkui Tan Yang Xiang AAML 24 4 0 13 Mar 2021
Augmented Lagrangian Adversarial Attacks Jérôme Rony Eric Granger M. Pedersoli Ismail Ben Ayed AAML 8 38 0 24 Nov 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 234 678 0 19 Oct 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 20 99 0 23 Jun 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016